Guest contributor Archives - Open Data Science - Your News Source for AI, Machine Learning & more

4 Winning Ways to Create an AI Content Marketing Strategy

Accelerate AI Guest contributor marketingposted by ODSC Community November 12, 2019

The artificial intelligence (AI) revolution continues to make an impact on the global market with disruptive efficiency. Whether it’s the marketing industry, FinTech or healthcare, and cybersecurity, AI technologies continue to make their mark as standard practice. When it comes to content marketing, digital transformation is starting to take... Read more

How Can You Combine DevOps and Automation for Robust Security?

DataOps Guest contributor Tools & Languages devops Securityposted by ODSC Community October 18, 2019

In this article, we will be taking a look at how the organizations can leverage the potential of DevOps and automation in order to evolve their business. As the engineering teams are trying to innovate at a quicker and... Read more

From Data to Process to Decision

Guest contributor Modeling Workflowposted by Christine Custis October 10, 2019

I recently published a paper entitled ”Intelligent Decisions: How Businesses Can Improve Processes Using Artificial Intelligence Technologies.” The work focused on the possibility of employing artificial intelligence in the business process management functions of the enterprise. I would like to further explore this concept and investigate the data science... Read more

Using GANs to Generate Images of Race Cars

Guest contributor Machine Learning Modeling GANs Generative adversarial networksposted by ODSC Team October 10, 2019

Have you ever stood in a packed crowd, seen heatwaves rippling off the pavement and felt the roar of cars flying past you? No? I’m guessing that the overlap of ODSC blog readers and car racing fans might be small. However, those roaring cars do present some interesting data... Read more

5 Amazing Ways Data Science Will Transform the eCommerce Business

Accelerate AI Guest contributor ecommerceposted by Gaurav Belani September 30, 2019

Data science has become a go-to term for every industry, starting from eCommerce to healthcare and transportation. And each sector uses data science in eCommerce for different purposes. For instance, Amazon, the eCommerce giant, uses data for improving eCommerce experience. Among all industries, data science has had a significant impact... Read more

AI as the Ultimate Disrupter in Logistics: How to Manage Last Mile Costs?

Accelerate AI Guest contributor Transportation Application Logisticsposted by Sujata Sharma September 17, 2019

Over half the total cost incurred of Logistics companies falls in the execution of first and last-mile services. Logistics companies are seeking to reduce costs by making the transportation process faster, more reliable, and more efficient. With the growing digitization of logistics industry, more and more companies are adding... Read more

Not Always a Black Box: Machine Learning Approaches For Model Explainability

Conferences Guest contributor Modeling ODSC Speaker black box Interpretabilityposted by Violeta Misheva August 5, 2019

Editor’s Note: Violeta is speaking at ODSC Europe 2019, see her talk “Not Always a Black Box: Explainability Applications for a Real Estate Problem“ What is model explainability? Imagine that you have built a very precise machine learning model by using clever tricks and non-standard features. You are beyond... Read more

Bias Variance Decompositions using XGBoost

Guest contributor Machine Learning Modeling bias varianceposted by RAPIDS August 1, 2019

This blog dives into a theoretical machine learning concept called the bias-variance decomposition. This decomposition is a method which examines the expected generalization error for a given learning algorithm and a given data source. This helps us understand questions like: – How can I achieve higher accuracy with my... Read more

10 Minutes to cuDF and Dask cuDF

Guest contributor Modeling daskposted by RAPIDS July 31, 2019

Centered around Apache Arrow DataFrames on the GPU, RAPIDS is designed to enable end-to-end data science and analytics on GPUs. Together, open source libraries like RAPIDS cuDF and Dask let users process tabular data on GPUs at scale with a familiar, pandas-like API. With Dask, anything you can do... Read more

Nightly News: CI produces latest packages

Guest contributor rapidsposted by RAPIDS July 30, 2019

“Release code early and often” is a software engineering philosophy that RAPIDS takes to heart. We try to release about every six weeks or so, partly to keep up the pace of feature development, but also so RAPIDS users don’t get stuck on older versions of our software for too long.... Read more